Recoverable Identifier

arXiv:2605.08031 · detector doi_compliance · incontrovertible · 2026-05-19 11:17:53.558125+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2025.naacl-long.444.URLhttps://aclanthology.org/2025.naacl-long.444/.Chongyu) was visible in the surrounding text but could not be confirmed against doi.org as printed.

Paper page Integrity report arXiv Try DOI

Evidence text

Association for Computational Linguistics. ISBN 979-8-89176-189-6. doi: 10.18653/v1/2025. naacl-long.444. URLhttps://aclanthology.org/2025.naacl-long.444/. Chongyu Fan, Jiancheng Liu, Licong Lin, Jinghan Jia, Ruiqi Zhang, Song Mei, and Sijia Liu. Simplic- ity prevails: Rethinking negative preference optimization for LLM unlearning. InNeurips Safe Gen- erative AI Workshop 2024,

Evidence payload

{
  "printed_excerpt": "Association for Computational Linguistics. ISBN 979-8-89176-189-6. doi: 10.18653/v1/2025. naacl-long.444. URLhttps://aclanthology.org/2025.naacl-long.444/. Chongyu Fan, Jiancheng Liu, Licong Lin, Jinghan Jia, Ruiqi Zhang, Song Mei, and Siji",
  "reconstructed_doi": "10.18653/v1/2025.naacl-long.444.URLhttps://aclanthology.org/2025.naacl-long.444/.Chongyu",
  "ref_index": 5,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}